Online Arabic Handwriting Recognition with Dropout Applied in Deep Recurrent Neural Networks. - Rania Maalej; Najiba Tagougui; Monji Kherallah (DAS, 2016)

Improving MDLSTM for Offline Arabic Handwriting Recognition Using Dropout at Different Positions. - Rania Maalej; Monji Kherallah (ICANN (2), 2016)

A New Design Based-SVM of the CNN Classifier Architecture with Dropout for Offline Arabic Handwritten Recognition. - Mohamed Elleuch; Rania Maalej; Monji Kherallah (ICCS, 2016)

Recognition of Handwritten Arabic Words with Dropout Applied in MDLSTM. - Rania Maalej; Najiba Tagougui; Monji Kherallah (ICIAR, 2016)

Convolutional Neural Network and BLSTM for Offline Arabic Handwriting Recognition. - Rania Maalej; Monji Kherallah (ACIT, 2018)

Maxout into MDLSTM for Offline Arabic Handwriting Recognition. - Rania Maalej; Monji Kherallah (ICONIP (3), 2019)

ReLU to Enhance MDLSTM for Offline Arabic Handwriting Recognition. - Rania Maalej; Monji Kherallah (ISDA, 2019)

Improving the DBLSTM for on-line Arabic handwriting recognition. - Rania Maalej; Monji Kherallah (Multim. Tools Appl., 2020)

New MDLSTM-based designs with data augmentation for offline Arabic handwriting recognition. - Rania Maalej; Monji Kherallah (Multim. Tools Appl., 2022)

Recent advances of ML and DL approaches for Arabic handwriting recognition: A review. - Anis Mezghani; Rania Maalej; Mohamed Elleuch; Monji Kherallah (Int. J. Hybrid Intell. Syst., 2023)

Advancements in automated sperm morphology analysis: a deep learning approach with comprehensive classification and model evaluation. - Rania Maalej; Olfa Abdelkefi; Salima Daoud (Multim. Tools Appl., 2025)